- Nicolas P. Rougier, Yann Boniface:
Motivated self-organization. WSOM 2017: 9-12 - Frank-Michael Schleif:
Small sets of random Fourier features by kernelized Matrix LVQ. WSOM 2017: 192-196 - Michiel Straat, Marika Kaden, Matthias Gay, Thomas Villmann, Alexander Lampe, Udo Seiffert, Michael Biehl, Friedrich Melchert:
Prototypes and matrix relevance learning in complex fourier space. WSOM 2017: 139-144 - César Torres-Huitzil, Oleksandr V. Popovych, Bernard Girau:
Fault tolerance of self organizing maps. WSOM 2017: 13-20 - Alfred Ultsch, Michael C. Thrun:
Credible visualizations for planar projections. WSOM 2017: 77-81 - Jorge R. Vergara, Pablo A. Estévez:
A strategy for time series prediction using Segment Growing Neural Gas. WSOM 2017: 241-248 - Nathalie Villa-Vialaneix:
Stochastic self-organizing map variants with the R package SOMbrero. WSOM 2017: 104-110 - Thomas Villmann, Michael Biehl, Andrea Villmann, Sascha Saralajew:
Fusion of deep learning architectures, multilayer feedforward networks and learning vector quantizers for deep classification learning. WSOM 2017: 69-76 - Ryad A. Zemouri:
An evolutionary building algorithm for Deep Neural Networks. WSOM 2017: 21-27 - Jean-Charles Lamirel, Marie Cottrell, Madalina Olteanu:
12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization, WSOM 2017, Nancy, France, June 28-30, 2017. IEEE 2017, ISBN 978-1-5090-6638-4 [contents] - 2016
- Mehdi Abadi, Slavisa Jovanovic, Khaled Ben Khalifa, Serge Weber, Mohamed Hédi Bedoui:
A Scalable Flexible SOM NoC-Based Hardware Architecture. WSOM 2016: 165-175 - Nahed Alowadi, Yuan Shen, Peter Tiño:
Prototype-Based Spatio-Temporal Probabilistic Modelling of fMRI Data. WSOM 2016: 193-203 - Kerstin Bunte, Marika Kaden, Frank-Michael Schleif:
Low-Rank Kernel Space Representations in Prototype Learning. WSOM 2016: 341-353 - Jonathon Climer, Michael J. Mendenhall:
Dynamic Prototype Addition in Generalized Learning Vector Quantization. WSOM 2016: 355-368 - Marie Cottrell, Madalina Olteanu, Fabrice Rossi, Nathalie Villa-Vialaneix:
Theoretical and Applied Aspects of the Self-Organizing Maps. WSOM 2016: 3-26 - Denny, William Gozali, Ruli Manurung:
SOM Training Optimization Using Triangle Inequality. WSOM 2016: 61-71 - Pablo A. Estévez:
Big Data Era Challenges and Opportunities in Astronomy - How SOM/LVQ and Related Learning Methods Can Contribute? WSOM 2016: 267 - Jan Faigl:
On Self-Organizing Map and Rapidly-Exploring Random Graph in Multi-Goal Planning. WSOM 2016: 143-153 - Paulo Henrique Muniz Ferreira, Aluízio Fausto Ribeiro Araújo:
Modular Self-Organizing Control for Linear and Nonlinear Systems. WSOM 2016: 131-141 - Rigoberto Fonseca-Delgado, Pilar Gómez-Gil:
Modeling Diversity in Ensembles for Time-Series Prediction Based on Self-Organizing Maps. WSOM 2016: 119-128 - Humberto I. Fontinele, Davyd B. Melo, Guilherme A. Barreto:
Local Models for Learning Inverse Kinematics of Redundant Robots: A Performance Comparison. WSOM 2016: 177-187 - Matthias Gay, Marika Kaden, Michael Biehl, Alexander Lampe, Thomas Villmann:
Complex Variants of GLVQ Based on Wirtinger's Calculus. WSOM 2016: 293-303 - Lutz Hamel:
SOM Quality Measures: An Efficient Statistical Approach. WSOM 2016: 49-59 - Oliver Kramer:
Dimensionality Reduction Hybridizations with Multi-dimensional Scaling. WSOM 2016: 155-163 - Benjamin D. Kramer, Dylan P. Losey, Marcia K. O'Malley:
SOM and LVQ Classification of Endovascular Surgeons Using Motion-Based Metrics. WSOM 2016: 227-237 - Jean-Charles Lamirel:
Reliable Clustering Quality Estimation from Low to High Dimensional Data. WSOM 2016: 95-105 - Jérôme Mariette, Nathalie Villa-Vialaneix:
Aggregating Self-Organizing Maps with Topology Preservation. WSOM 2016: 27-37 - Friedrich Melchert, Udo Seiffert, Michael Biehl:
Functional Representation of Prototypes in LVQ and Relevance Learning. WSOM 2016: 317-327 - Risto Miikkulainen:
Using SOMs to Gain Insight into Human Language Processing. WSOM 2016: 191 - Yaser Moazzen, Kadim Tasdemir:
A Neural Gas Based Approximate Spectral Clustering Ensemble. WSOM 2016: 85-93